-
to develop algorithms to factor linear differential operators using p‑adic techniques. The central question of this proposal concerns the efficient symbolic resolution of linear differential equations
-
consensus. The successful candidate will develop the algorithmic foundations of this framework—making the motion-generation stack modular and heterogeneous (combining model-based control with learning-based
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
control applications. 2. Control Design nonlinear optimal control algorithms. Investigate advanced control strategies for compliant robotic manipulation. 3. Experimental Validation Validate the developed
-
, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods